| F. González Sáenz | Universidad Autónoma del Estado de Hidalgo |
| O. Sandre Hernández | Universidad Autónoma del Estado de Hidalgo |
| C. Cuvas Castillo | Universidad Politécnica de Pachuca |
| J. P. Ordaz Oliver | Universidad Autónoma del Estado de Hidalgo |
https://doi.org/10.58571/CNCA.AMCA.2025.008
Resumen: This paper introduces an ultra-local model predictive current control (UMPCC) for a permanent magnet synchronous motor (PMSM). The main objective of the ultra-local model approach is to improve the robustness of the current control of the PMSM. Previous works on ultra-local model techniques for the current control of a PMSM are designed based on deadbeat control, which leads to a high current ripple due to the fast response of the controller. This paper introduces a continuous UMPCC (C-UMPCC) to minimize the current ripple. In the proposed approach, a continuous vector control is designed using the solution of an optimal control tracking problem. Simulation results are presented to illustrate the proposed controller.

¿Cómo citar?
González Sáenz, F., Sandre Hernández, O., Cuvas Castillo, C. & Ordaz Oliver, J. (2025). Ultra-local Model Predictive Current Control of a PM Synchronous Motor. Memorias del Congreso Nacional de Control Automático 2025, pp. 44-49. https://doi.org/10.58571/CNCA.AMCA.2025.008
Palabras clave
Kalman filter, PMSM, Predictive Current Control, Ultra-local Model.
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